Evidence map›Paper›PMID 40553792›Full record

ArticleTheoretical population biology2025

Using mathematical constraints to explain narrow ranges for allele-sharing dissimilarities.

Xiran Liu, Zarif Ahsan, Noah A Rosenberg

Abstract read
In one paragraph

Article in Theoretical population biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Xiran LiuInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, United States of America. Electronic address: xiranliu@stanford.edu.
Zarif AhsanDepartment of Biology, Stanford University, Stanford, CA 94305, United States of America.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, CA 94305, United States of America.

Funding

Population genetics for large-scale sequencing studies of diverse populationsR01HG005855 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noah Rosenberg, Paul A Scheet · 2010 to 2026
$5.8M
NHGRI NIH HHS R01 HG005855
6 · The paper itself

Abstract

Allele-sharing dissimilarity (ASD) statistics are measures of genetic differentiation for pairs of individuals or populations. Given the allele-frequency distributions of two populations - possibly the same population - the expected value of an ASD statistic is computed by evaluating the expectation of the pairwise dissimilarity between two individuals drawn at random, each from its associated allele-frequency distribution. For each of two ASD statistics, which we term D

Indexed as

AllelesGene FrequencyGenetics, PopulationModels, GeneticHumansAllele frequenciesGenetic dissimilarityPopulation genetics

Identifiers

PMID40553792
PMCPMC12306503

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.